Literature DB >> 17846495

Identification of QTLs for some agronomic traits in rice using an introgression line from Oryza minuta.

Md Lutfor Rahman1, Sang Ho Chu, Min-Sun Choi, Yong Li Qiao, Wenzhu Jiang, Rihua Piao, Sakina Khanam, Young-Il Cho, Ji-Ung Jeung, Kshirod Jena, Hee-Jong Koh.   

Abstract

Wild progenitor species provide potential gene sources for complex traits such as yield and multiple resistances to biotic and abiotic stresses, and thus are expected to contribute to sustainable food supplies. An introgression line 'IR71033-121-15' was derived from a wild species Oryza minuta (2n = 48, BBCC, Acc No. 101141) at IRRI. Introgression analysis using 530 SSR and STS markers revealed that at least 14 chromosomal segments distributed over 12 chromosomes had been introgressed from O. minuta. An F2:3 population from the cross between IR71033 and Junambyeo (a Korean japonica cultivar) consisting of 146 lines was used for quantitative trait loci (QTL) analysis of 16 agronomic traits. A total of 36 single-locus QTLs (S-QTLs) and 45 digenic epistasis (E-QTLs) were identified. In spite of it's inferiority of O. minuta for most of the traits studied, its alleles contributed positively to 57% of the QTLs. The other QTLs originated from either parent, IR71033 or Junambyeo. QTLs for phenotypically correlated traits were mostly detected on introgressed segments. Fourteen QTLs corresponded to QTLs reported earlier, indicating that these QTLs are stable across genetic backgrounds. Twenty-two QTLs controlling yield and its components had not been detected in previous QTL studies. Of these, thirteen consisted of potentially novel alleles from O. minuta. QTLs from O. minuta introgression could be new sources of natural variation for the genetic improvement of rice.

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Year:  2007        PMID: 17846495

Source DB:  PubMed          Journal:  Mol Cells        ISSN: 1016-8478            Impact factor:   5.034


  14 in total

1.  Identification of quantitative trait loci for productive tiller number and its relationship to agronomic traits in spring wheat.

Authors:  Y Naruoka; L E Talbert; S P Lanning; N K Blake; J M Martin; J D Sherman
Journal:  Theor Appl Genet       Date:  2011-07-13       Impact factor: 5.699

2.  Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars.

Authors:  Xu Feng Bai; Li Jun Luo; Wen Hao Yan; Mallikarjuna Rao Kovi; Yong Zhong Xing
Journal:  J Genet       Date:  2011-08       Impact factor: 1.166

3.  High-resolution mapping of two rice brown planthopper resistance genes, Bph20(t) and Bph21(t), originating from Oryza minuta.

Authors:  Md Lutfor Rahman; Wenzhu Jiang; Sang Ho Chu; Yongli Qiao; Tae-Ho Ham; Mi-Ok Woo; Joohyun Lee; M Sakina Khanam; Joong-Hyoun Chin; Ji-Ung Jeung; D S Brar; K K Jena; Hee-Jong Koh
Journal:  Theor Appl Genet       Date:  2009-08-11       Impact factor: 5.699

4.  Mapping and introgression of QTL for yield and related traits in two backcross populations derived from Oryza sativa cv. Swarna and two accessions of O. nivara.

Authors:  B P Mallikarjuna Swamy; K Kaladhar; G Ashok Reddy; B C Viraktamath; N Sarla
Journal:  J Genet       Date:  2014-12       Impact factor: 1.166

5.  Mapping and validation of quantitative trait loci for spikelets per panicle and 1,000-grain weight in rice (Oryza sativa L.).

Authors:  Touming Liu; Di Shao; Mallikarjuna Rao Kovi; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2009-12-01       Impact factor: 5.699

6.  Validation of a QTL for Grain Size and Weight Using an Introgression Line from a Cross between Oryza sativa and Oryza minuta.

Authors:  Yue Feng; Xiaoping Yuan; Yiping Wang; Yaolong Yang; Mengchen Zhang; Hanyong Yu; Qun Xu; Shan Wang; Xiaojun Niu; Xinghua Wei
Journal:  Rice (N Y)       Date:  2021-05-20       Impact factor: 4.783

7.  Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice.

Authors:  Bahman Khahani; Elahe Tavakol; Vahid Shariati; Fabio Fornara
Journal:  BMC Genomics       Date:  2020-04-10       Impact factor: 3.969

8.  Identification of QTL TGW12 responsible for grain weight in rice based on recombinant inbred line population crossed by wild rice (Oryza minuta) introgression line K1561 and indica rice G1025.

Authors:  Xiaoqiong Li; Yu Wei; Jun Li; Fangwen Yang; Ying Chen; Yinhua Chen; Sibin Guo; Aihua Sha
Journal:  BMC Genet       Date:  2020-02-03       Impact factor: 2.797

9.  Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect.

Authors:  Jan Bocianowski
Journal:  Genet Mol Biol       Date:  2013-03-04       Impact factor: 1.771

10.  Identification of a Novel QTL for Panicle Length From Wild Rice (Oryza minuta) by Specific Locus Amplified Fragment Sequencing and High Density Genetic Mapping.

Authors:  Zhengzheng Zhu; Xiaoqiong Li; Yu Wei; Sibin Guo; Aihua Sha
Journal:  Front Plant Sci       Date:  2018-10-16       Impact factor: 5.753

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